Non-uniqueness phase in hyperbolic marked random connection models using the spherical transform

Abstract A non-uniqueness phase for infinite clusters is proven for a class of marked random connection models (RCMs) on the d -dimensional hyperbolic space, ${\mathbb{H}^d}$ , in a high volume-scaling regime. The approach taken in this paper utilizes the spherical transform on ${\mathbb{H}^d}$ to diagonalize convolution by the adjacency function and the two-point function and bound their $L^2\to L^2$ operator norms. Under some circumstances, this spherical transform approach also provides bounds on the triangle diagram that allows for a derivation of certain mean-field critical exponents. In particular, the results are applied to some Boolean and weight-dependent hyperbolic RCMs. While most of the paper is concerned with the high volume-scaling regime, the existence of the non-uniqueness phase is also proven without this scaling for some RCMs whose resulting graphs are almost surely not locally finite.

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Publication Details

Journal
Advances in Applied Probability
Published
2025-10-03
DOI
https://doi.org/10.1017/apr.2025.10033
Citations
1
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
3.69

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article

Non-uniqueness phase in hyperbolic marked random connection models using the spherical transform

Matthew Dickson
1 citations
Advances in Applied Probability
Stochastic processes and statistical mechanics
3.69
article

Non-uniqueness phase in hyperbolic marked random connection models using the spherical transform

Matthew Dickson
article en
1 citations

Abstract

Abstract A non-uniqueness phase for infinite clusters is proven for a class of marked random connection models (RCMs) on the d -dimensional hyperbolic space, ${\mathbb{H}^d}$ , in a high volume-scaling regime. The approach taken in this paper utilizes the spherical transform on ${\mathbb{H}^d}$ to diagonalize convolution by the adjacency function and the two-point function and bound their $L^2\to L^2$ operator norms. Under some circumstances, this spherical transform approach also provides bounds on the triangle diagram that allows for a derivation of certain mean-field critical exponents. In particular, the results are applied to some Boolean and weight-dependent hyperbolic RCMs. While most of the paper is concerned with the high volume-scaling regime, the existence of the non-uniqueness phase is also proven without this scaling for some RCMs whose resulting graphs are almost surely not locally finite.

Advances in Applied Probability
University of British Columbia (CA)
Natural Sciences and Engineering Research Council of Canada, Engineering and Physical Sciences Research Council, Division of Mathematical Sciences
Openalex Percentile: Top 7%
Stochastic processes and statistical mechanics
3.69
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